Its unique approach communicates the richness and diversity of CIS in a lucid and accessible format. This fully revised and updated second edition reinforces the view of CIS as a gateway to science and problem solving, sets out the scientific principles that govern its use, and describes the impact of people on its development, design, and success. The second edition of Geographic Information Systems and Science includes:A new five-part structure: Foundations; Principles; Techniques; Analysis; and Management and Policy.All-new personality boxes of current GIS practitioners.New real-world applications of GIS.New or expanded coverage of important current topics:Location-based servicesDistributed computingVirtual and augmented realitiesHomeland securityBusiness GIS and geodemographicsThe emergence of geoportalsGrand challenges of GIScienceA new suite of instructor and student resources http://www.wiley.com/go/longleyThe second edition of Geographic Information Systems and Science is essential reading for undergraduates taking courses in GIS within departments of Geography, Environmental Science, Business (and Public) Administration, Computer Science, Urban Studies, Planning, Information Science, Civil Engineering, and Archaeology. It is also provides a key resource for foundation GIS courses on taught MSc and other higher-degree programs. Professional users of GIS from governmental organizations and industries across the private sector will find this book an invaluable resource with a wealth of relevant applications.

    Starting at 'The Beginning' and concluding with 'The End', chapters range from the familiar, such as 'Character', 'Narrative' and 'The Author', to the more unusual, such as 'Secrets', 'Pleasure' and 'Ghosts'. Now in its fifth edition, Bennett and Royle's classic textbook successfully illuminates complex ideas by engaging directly with literary works, so that a reading of Jane Eyre opens up ways of thinking about racial difference, for example, while Chaucer, Raymond Chandler and Monty Python are all invoked in a discussion of literature and laughter.The fifth edition has been revised throughout and includes four new chapters - 'Feelings', 'Wounds', 'Body' and 'Love' - to incorporate exciting recent developments in literary studies. In addition to further reading sections at the end of each chapter, the book contains a comprehensive bibliography and a glossary of key literary terms.A breath of fresh air in a field that can often seem dry and dauntingly theoretical, this book will open the reader's eyes to the exhilarating possibilities of reading and studying literature.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    It is packed with tools for analyzing texts and structuring critical reviews, and incorporating exercises and examples drawn from the social sciences.

    This book teaches you how to conduct examinations by explaining what digital forensics is, the methodologies used, key technical concepts and the tools needed to perform examinations. Details on digital forensics for computers, networks, cell phones, GPS, the cloud, and Internet are discussed. Readers will also learn how to collect evidence, document the scene, and recover deleted data. This is the only resource your students need to get a jump-start into digital forensics investigations.This book is organized into 11 chapters. After an introduction to the basics of digital forensics, the book proceeds with a discussion of key technical concepts. Succeeding chapters cover labs and tools; collecting evidence; Windows system artifacts; anti-forensics; Internet and email; network forensics; and mobile device forensics. The book concludes by outlining challenges and concerns associated with digital forensics. PowerPoint lecture slides are also available.This book will be a valuable resource for entry-level digital forensics professionals as well as those in complimentary fields including law enforcement, legal, and general information security.

    Guyton & Hall's Textbook of Medical Physiology covers all of the major systems in the human body, while emphasizing system interaction, homeostasis, and pathophysiology. This very readable, easy-to-follow, and thoroughly updated, 11th Edition features a new full-color layout, short chapters, clinical vignettes, and shaded summary tables that allow for easy comprehension of the material.The smart way to study!Elsevier titles with STUDENT CONSULT will help you master difficult concepts and study more efficiently in print and online! Perform rapid searches. Integrate bonus content from other disciplines. Download text to your handheld device. And a lot more. Each STUDENT CONSULT title comes with full text online, a unique image library, case studies, USMLE style questions, and online note-taking to enhance your learning experience.Presents short, easy-to-read chapters in keeping with the Guyton and Hall tradition.Provides shaded summary tables for easy reference.Includes clinical vignettes, which allow readers to see core concepts applied to real-life situations.Offers specific discussions of pathophysiology in most clinical areas of medicine.Ensures a strong grasp of physiology concepts through well-illustrated discussions of the most essential principles.Now in full color! Offers access to the full text and other valuable features online via the STUDENT CONSULT website.Uses full-color illustrations throughout, including 486 figures, 277 charts and graphs, 100 brand-new line drawings, and 36 ECGs.Features a new full-color design that makes information more engaging and even easier to read.Updated throughout to reflect the latest knowledge in the field.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    This pioneering book is a vital resource for all those involved in publishing studies, library studies, book history and also those studying English literature, cultural studies, sociology and history.